Technical Engineering Manager_Core AI New

NetVerks Inc.; Pune District; Presencial; INR 3 500 000 - 7 000 000; Tempo integral

Resumo da oferta

FloQast is seeking an AI Engineering Manager for its Core AI team in India. You will lead a growing group of AI software engineers, delivering scalable production AI products, including intelligent chatbots and document processing systems.

You will shape architecture, drive key initiatives, and ensure robust, observable AI solutions for a B2B SaaS platform. You will partner with product, architecture, QA, and security teams worldwide, guiding model routing and vector search, while promoting

Qualificações

• 5+ years of software engineering management experience, leading teams to deliver complex backend or AI products to customers.
• 5+ years of experience as an individual contributor in software engineering, with strong Python, backend, and cloud-native experience (AWS preferred).
• Production AI experience with LLM APIs, RAG, conversational AI, and scalable AI product design.

Responsabilidades

• Lead, manage, mentor, and develop teams of AI software engineers.
• Guide architecture and delivery of scalable production AI products and agentic workflows.
• Actively recruit and retain top AI engineering talent to grow FloQast's Core AI capabilities in India.
• Collaborate with product managers, QA, architecture, security, and global engineering leaders to design and run the centralized AI platform.
• Champion lean software development, Agile practices, and robust LLMOps/DevOps for AI systems.
• Ensure AI products are robust, compliant, and observable and integrate with diverse accounting systems and APIs.

Conhecimentos

Python

Backend development

AWS

LLM APIs

RAG

AI frameworks

Leadership

Recruiting

CI/CD

DevOps practices

Ferramentas

MongoDB

Express

React

Node

Descrição da oferta de emprego

As an AI Engineering Manager on our Core AI team in India, you will be a cornerstone of FloQast's AI transformation and a key leader in our growing global engineering organization. You will manage and scale a team of high-performing…

As an AI Engineering Manager on our Core AI team in India, you will be a cornerstone of FloQast's AI transformation and a key leader in our growing global engineering organization. You will manage and scale a team of high-performing software and AI engineers responsible for architecting and deploying production AI systems—powering our accounting automation platform and bringing our vision of an AI accountant teammate to life. This role requires a balance between people leadership, operational excellence, and technical leadership in modern AI paradigms. You will partner with global engineering leadership, product management, and architecture teams to establish technical standards for agentic workflows, model context protocols (MCP), retrieval-augmented generation (RAG), and LLMOps across FloQast. Reporting to the VP of Engineering, you will play a critical role in expanding FloQast’s AI footprint by recruiting, mentoring, and developing top-tier engineering talent in India.

Requirements

What You'll Be Doing

• Team Leadership & Development: Lead, manage, mentor, and develop teams of AI software engineers. Grow your team members’ career paths through consistent coaching, performance management, and continuous feedback.
• AI Technical Direction & Delivery: Guide your team in the architecture and delivery of scalable production AI products, including intelligent chatbots, document processing systems, and agentic workflows using Python and modern AI frameworks.
• Recruiting & Site Growth: Actively recruit, interview, and retain top-tier AI engineering talent to build out FloQast's Core AI capabilities in India.
• Global Collaboration: Collaborate effectively with product managers, QA, architecture, security, and global engineering leaders to design and implement our centralized AI platform (model routing, provider management, vector search).
• Process & Culture: Cultivate an engineering culture of innovative, egoless, high-trust problem solving. Champion lean software development, Agile principles, and robust LLMOps/DevOps practices for AI systems.
• Production Excellence: Ensure your team builds robust, compliant, and observable AI products that integrate seamlessly with diverse technologies (accounting systems, external APIs) in a B2B SaaS environment.

What You'll Bring

• 5+ years of software engineering management experience, with a track record of leading teams to deliver complex backend or AI products to a paying customer base.
• 5+ years of experience as an individual contributor as a software engineer, with a strong background in Python, backend development, and cloud-native environments (AWS preferred).
• Production AI Experience: Familiarity with LLM APIs, retrieval-augmented generation (RAG), conversational AI, and scalable system design for AI products.
• Distributed Team Leadership: Proven experience leading and managing teams that are geographically distributed, driving alignment across time zones.
• Recruiting & Mentorship: Hands-on experience recruiting and interviewing engineering personnel, alongside a strong track record of managing individuals' performance and career growth.
• Agile & Delivery Mastery: 5+ years working on teams using Agile methodologies (Scrum, Kanban) with a strong commitment to automated testing, CI/CD, and DevOps practices.
• Communication & Alignment: Strong ability to communicate complex system designs and AI strategies to both technical and business stakeholders.

Nice To Haves

• Experience managing managers of software engineering teams.
• Hands-on experience with advanced RAG architectures, reranking systems, semantic search systems, or AI observability/monitoring tools.
• Experience working on B2B SaaS products, particularly in the financial or accounting space.
• Familiarity with our broader web stack (MongoDB, Express, React, and Node) to facilitate seamless integration between AI services and core applications.
• Knowledge of model context protocols (MCP) or reinforcement learning techniques (RLHF).